{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "killing-nitrogen",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "\n",
    "sys.path.append(os.path.abspath(os.path.join(\"../../..\")))\n",
    "import datetime\n",
    "from functools import partial\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "verified-columbus",
   "metadata": {},
   "outputs": [],
   "source": [
    "from bayesflow.amortized_inference import AmortizedPosterior\n",
    "from bayesflow.forward_inference import *\n",
    "from bayesflow.networks import InvariantNetwork, InvertibleNetwork\n",
    "from bayesflow.trainers import Trainer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "designing-bernard",
   "metadata": {},
   "source": [
    "<h1>Introduction</h1>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "forbidden-round",
   "metadata": {},
   "source": [
    "In our [previous tutorial](./Covid19_Initial_Posterior_Estimation.ipynb), we saw how to perform <strong>amortized posterior estimation</strong> on the parameters of a compartmental model for disease outbreaks. In this tutorial, we will perform <strong>prior sensitivity analysis</strong> on our posterior inference using for the first time the `prior_batchable_context` quantity.\n",
    "\n",
    "Assessing a model's sensitivity can be quite challenging in Bayesian analysis, since it typically requires re-estimating the model multiple times on the same data. \n",
    "Naturally, such an approach scales poorly in scenarios where estimating a model even <strong>once</strong> is prohibitively slow.\n",
    "While problems of efficiency can be somewhat alleviated in the context of likelihood-based Bayesian inference using Markov chain Monte Carlo (MCMC), the computational burden of refitting models becomes even heavier in simulation-based scenarios. \n",
    "\n",
    "Both core quantities in Bayesian inference, namely, likelihood and prior, depend on some implicit context variables which are considered fixed and thus not further specified as explicit conditioning variables.\n",
    "Typical examples for prior context variables might be as simple as the prior scale (i.e., dispersion) of admissible parameter values or as complex as discrete sets of qualitative expert knowledge.\n",
    "Typical examples for likelihood context variables include various structural decisions regarding the transformation or exogenous experimental factors, such as design matrices, indicator variables, or time scales.\n",
    "In the `BayesFlow` library, such factors are considered <strong>context</strong> and should be implemented via `ContextGenerator` instances. Both `Prior` and `Simulator` instances support context generators.\n",
    "\n",
    "Why is sensitivity analysis important? Modelers might disagree regarding the <em>right</em> set of context variables. \n",
    "For instance, when modeling emerging pandemics, different experts might choose to incorporate different prior knowledge about unknown disease parameters in their analysis and thereby arrive at conflicting substantive conclusions based on the same data.\n",
    "Certainly, the sensitivity of Bayesian inference will depend on the interplay between various factors, such as the model family or the amount of available data. \n",
    "However, in most real-world applications, this interplay is too complex to allow for a straightforward (analytical) calculation of sensitivity.\n",
    "Thus, it is often desirable to explicitly asses the sensitivity of Bayesian analysis to possible choices of context variables by varying the latter along reasonable dimensions and then quantifying the consequences for the resulting inference.\n",
    "It is this assessment that we will illustrate in this notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "congressional-pennsylvania",
   "metadata": {},
   "source": [
    "## Defining the Generative Model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "million-survivor",
   "metadata": {},
   "source": [
    "We will use the exactly same compartmental model as implemented in our [previous tutorial](./Covid19_Initial_Posterior_Estimation.ipynb). Our underlying model distinguishes between susceptible, $S$, infected, $I$, and recovered, $R$, individuals with infection and recovery occurring at a constant transmission rate $\\lambda$ and constant recovery rate $\\mu$, respectively. The model dynamics are governed by the following system of ODEs:\n",
    "\n",
    "$$\n",
    "\\begin{align}\n",
    "    \\frac{dS}{dt} &= -\\lambda\\,\\left(\\frac{S\\,I}{N}\\right) \\\\\n",
    "    \\frac{dI}{dt} &= \\lambda\\,\\left(\\frac{S\\,I}{N}\\right) - \\mu\\,I \\\\\n",
    "    \\frac{dR}{dt} &= \\mu\\,I,\n",
    "\\end{align}\n",
    "$$\n",
    "\n",
    "with $N = S + I + R$ denoting the total population size. For the purpose of forward inference (simulation), we will use a time step of $dt = 1$, corresponding to daily case reports. In addition to the ODE parameters $\\lambda$ and $\\mu$, we consider a reporting delay parameter $L$ and a dispersion parameter $\\psi$, which affect the number of reported infected individuals via a negative binomial disttribution (https://en.wikipedia.org/wiki/Negative_binomial_distribution).\n",
    "\n",
    "Let's first define a global singleton for accessing the `numpy` random number generator:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "italic-sustainability",
   "metadata": {},
   "outputs": [],
   "source": [
    "RNG = np.random.default_rng(2022)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dramatic-greek",
   "metadata": {},
   "source": [
    "### Prior\n",
    "\n",
    "Our prior is the same as in our [previous notebook](./Covid19_Initial_Posterior_Estimation.ipynb), with the difference of a new argument called `alpha`. What this argument does is to scale each marginal prior $j$ in the following way $p(\\theta_j) \\rightarrow p(\\theta_j)^{\\alpha_j}$.\n",
    "\n",
    "The above transformation is called power scaling and is descrtibed in more detial in the paper by Noa Kallioinen, Topi Paananen, Paul-Christian Bürkner, and Aki Vehtari:\n",
    "\n",
    "<em>Detecting and diagnosing prior and likelihood sensitivity with power-scaling</em> (https://arxiv.org/abs/2107.14054)\n",
    "\n",
    "Essentially, the power scaling method expands or shrinks the prior pdf, thus assuming a sort of <strong>hierarchical prior</strong> with adaptive sharpness. However, differently to hierarchical Bayesian models, we will not estimate the hyerparameter $\\alpha$, but probe our results with different values of $\\alpha$ in some meaningful range (here $\\alpha \\in [0.5 - 2]$).\n",
    "The neat trick is this: we will perform <strong>amortized prior sensitivity analysis</strong>. Instead of training one `AmortizedPosterior`, we will include $\\alpha$ in the generative process and treat it as a context variable over which to amortize. This means, that the scaling factors will simply be concatednated with the outputs of the summary network and passed on to the inference network. In this way, upon convergence, we end up with an $\\alpha$-aware inference network, which can yield a posterior for each $\\alpha$ we supply during inference."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "prime-flavor",
   "metadata": {},
   "source": [
    "#### Context Generator Function\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "republican-appeal",
   "metadata": {},
   "source": [
    "During training, we will generate the scaling parameters from a continuous uniform distribution:\n",
    "\n",
    "$$\n",
    "\\alpha_j \\sim \\mathcal{U}(0.5, 2)\n",
    "$$\n",
    "\n",
    "In this way, the inference network will see both simulations with a narrower prior ($\\alpha > 1$) and a wider prior ($\\alpha < 1$) than our original prior choice ($\\alpha = 1$)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "hungry-stuff",
   "metadata": {},
   "outputs": [],
   "source": [
    "def alpha_gen():\n",
    "    \"\"\"Generates power-scaling parameters from a uniform distribution.\"\"\"\n",
    "    return RNG.uniform(0.5, 2, size=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "advance-airline",
   "metadata": {},
   "source": [
    "#### Prior Generator Function\n",
    "\n",
    "We can now also define the function which will generate random draws from the prior. Notice the additional argument specifying the vector of $\\alpha$-scaling parameters. Note also, that scaling different pdfs has different effect on the corresponding parametrs. For instance, performing power scaling on an [exponential](https://en.wikipedia.org/wiki/Exponential_distribution) pdf simply means dividing it's shape parameters by $\\alpha$. Further examples are given in https://arxiv.org/abs/2107.14054."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "collect-certification",
   "metadata": {},
   "outputs": [],
   "source": [
    "def model_prior(alpha):\n",
    "    \"\"\"Generates random draws from the prior given an alpha scaling parameter. Each marginal\n",
    "    prior has its own scaling parameter. See the paper linked below for details:\n",
    "\n",
    "    https://arxiv.org/abs/2107.14054\n",
    "    \"\"\"\n",
    "\n",
    "    lambd = RNG.lognormal(mean=np.log(0.4), sigma=0.5 / np.sqrt(alpha[0]))\n",
    "    mu = RNG.lognormal(mean=np.log(1 / 8), sigma=0.2 / np.sqrt(alpha[1]))\n",
    "    D = RNG.lognormal(mean=np.log(8), sigma=0.2 / np.sqrt(alpha[2]))\n",
    "    I0 = RNG.gamma(shape=2 * alpha[3] - alpha[3] + 1, scale=20 / alpha[3])\n",
    "    psi = RNG.exponential(5 / alpha[4])\n",
    "    return np.array([lambd, mu, D, I0, psi])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "amber-compatibility",
   "metadata": {},
   "source": [
    "Great! We can now connect the context generating function with the prior sampler using `BayesFlow` wrappers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "southern-ballot",
   "metadata": {},
   "outputs": [],
   "source": [
    "prior_context = ContextGenerator(batchable_context_fun=alpha_gen)\n",
    "prior = Prior(model_prior, prior_context)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "alert-average",
   "metadata": {},
   "source": [
    "When we now call the `Prior` object, we can see that the entry `batchable_context` in the output dictionary is filled with the scaling parameters used to generate each random draw. The context is dubbed <em>batchable</em>, because for each random draw from the prior in a batch of simulations, there is a corresponding context variable. In contrast, a `non_batchable_context` would be shared across all simulated quantities within a batch."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "dental-emerald",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'prior_draws': array([[ 0.33610512,  0.12001227,  7.13881526, 60.35291708,  3.23956216],\n",
       "        [ 0.50102922,  0.12348521, 10.08823068, 44.44636353,  0.85205942]]),\n",
       " 'batchable_context': [array([0.62513734, 1.17675062, 0.74885141, 0.50594303, 0.94169066]),\n",
       "  array([1.33514958, 1.7993603 , 0.81417343, 1.2814965 , 1.25550107])],\n",
       " 'non_batchable_context': None}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prior(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "classified-agenda",
   "metadata": {},
   "source": [
    "Notice, that the context variables are returned as a `list` type. This is done in order to deal with cases where the context variables cannot be coerced to a rectangular array or tensor. Our `configurator` should take care of this!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "accepting-rapid",
   "metadata": {},
   "source": [
    "During training, we will also standardize the prior draws, that is, ensure zero means and unit scale. We will do this purely for technical reasons - neural networks like scaled values. In addition, our current prior ranges differ vastly, so each parameter will contribute disproportionately to the loss function. Here, we will use the `estimate_means_and_stds()` method of a `Prior` instance, which will estimate the prior means and standard deviations from random draws. We could have also just taken the analytic marginal means and standard deviations, but these may not be available in all settings (e.g., implicit priors)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "smaller-plane",
   "metadata": {},
   "outputs": [],
   "source": [
    "prior_means, prior_stds = prior.estimate_means_and_stds()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "terminal-tokyo",
   "metadata": {},
   "source": [
    "### Simulator (Implicit Likelihood Function)\n",
    "\n",
    "Our simulator remains unchanged from the one specified in our [previous notebook](./Covid19_Initial_Posterior_Estimation.ipynb):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "civilian-valve",
   "metadata": {
    "code_folding": [
     15,
     29
    ]
   },
   "outputs": [],
   "source": [
    "from scipy.stats import nbinom\n",
    "\n",
    "\n",
    "def convert_params(mu, phi):\n",
    "    \"\"\"Helper function to convert mean/dispersion parameterization of a negative binomial to N and p,\n",
    "    as expected by numpy.\n",
    "\n",
    "    See https://en.wikipedia.org/wiki/Negative_binomial_distribution#Alternative_formulations\n",
    "    \"\"\"\n",
    "\n",
    "    r = phi\n",
    "    var = mu + 1 / r * mu**2\n",
    "    p = (var - mu) / var\n",
    "    return r, 1 - p\n",
    "\n",
    "\n",
    "def stationary_SIR(params, N, T, eps=1e-5):\n",
    "    \"\"\"Performs a forward simulation from the stationary SIR model given a random draw from the prior,\"\"\"\n",
    "\n",
    "    # Extract parameters and round I0 and D\n",
    "    lambd, mu, D, I0, psi = params\n",
    "    I0 = np.ceil(I0)\n",
    "    D = int(round(D))\n",
    "\n",
    "    # Initial conditions\n",
    "    S, I, R = [N - I0], [I0], [0]\n",
    "\n",
    "    # Reported new cases\n",
    "    C = [I0]\n",
    "\n",
    "    # Simulate T-1 tiemsteps\n",
    "    for t in range(1, T + D):\n",
    "        # Calculate new cases\n",
    "        I_new = lambd * (I[-1] * S[-1] / N)\n",
    "\n",
    "        # SIR equations\n",
    "        S_t = S[-1] - I_new\n",
    "        I_t = np.clip(I[-1] + I_new - mu * I[-1], 0.0, N)\n",
    "        R_t = np.clip(R[-1] + mu * I[-1], 0.0, N)\n",
    "\n",
    "        # Track\n",
    "        S.append(S_t)\n",
    "        I.append(I_t)\n",
    "        R.append(R_t)\n",
    "        C.append(I_new)\n",
    "\n",
    "    reparam = convert_params(np.clip(np.array(C[D:]), 0, N) + eps, psi)\n",
    "    C_obs = RNG.negative_binomial(reparam[0], reparam[1])\n",
    "    return C_obs[:, np.newaxis]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "modified-occupation",
   "metadata": {},
   "source": [
    "### Loading Real Data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "finnish-country",
   "metadata": {},
   "source": [
    "We will define a simple helper function to load the actually reported cases for the first 2 weeks in Germany."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "accurate-movie",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_data():\n",
    "    \"\"\"Helper function to load cumulative cases and transform them to new cases.\"\"\"\n",
    "\n",
    "    confirmed_cases_url = \"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv\"\n",
    "    confirmed_cases = pd.read_csv(confirmed_cases_url, sep=\",\")\n",
    "\n",
    "    date_data_begin = datetime.date(2020, 3, 1)\n",
    "    date_data_end = datetime.date(2020, 3, 15)\n",
    "    format_date = lambda date_py: f\"{date_py.month}/{date_py.day}/{str(date_py.year)[2:4]}\"\n",
    "    date_formatted_begin = format_date(date_data_begin)\n",
    "    date_formatted_end = format_date(date_data_end)\n",
    "\n",
    "    cases_obs = np.array(\n",
    "        confirmed_cases.loc[confirmed_cases[\"Country/Region\"] == \"Germany\", date_formatted_begin:date_formatted_end]\n",
    "    )[0]\n",
    "    new_cases_obs = np.diff(cases_obs)\n",
    "    return new_cases_obs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "disciplinary-dublin",
   "metadata": {},
   "source": [
    "Again, we can collect the simulator settings, together with the observed data, into a dictionary:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "integral-youth",
   "metadata": {},
   "outputs": [],
   "source": [
    "config = {\"T\": 14, \"N\": 83e6, \"obs_data\": load_data()}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "liable-sherman",
   "metadata": {},
   "source": [
    "And we now define our simulator as before, using fixed $T$ and $N$. You already guessed this, that varying this variables will amount to nothing different than further context variables..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "ready-strike",
   "metadata": {},
   "outputs": [],
   "source": [
    "simulator = Simulator(simulator_fun=partial(stationary_SIR, T=config[\"T\"], N=config[\"N\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "french-surgery",
   "metadata": {},
   "source": [
    "### Generative Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "little-paris",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Performing 2 pilot runs with the alpha_covid_simulator model...\n",
      "INFO:root:Shape of parameter batch after 2 pilot simulations: (batch_size = 2, 5)\n",
      "INFO:root:Shape of simulation batch after 2 pilot simulations: (batch_size = 2, 14, 1)\n",
      "INFO:root:No optional prior non-batchable context provided.\n",
      "INFO:root:Could not determine shape of prior batchable context. Type appears to be non-array: <class 'list'>,                                    so make sure your input configurator takes cares of that!\n",
      "INFO:root:No optional simulation non-batchable context provided.\n",
      "INFO:root:No optional simulation batchable context provided.\n"
     ]
    }
   ],
   "source": [
    "model = GenerativeModel(prior, simulator, name=\"alpha_covid_simulator\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "intellectual-burke",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'prior_non_batchable_context': None,\n",
       " 'prior_batchable_context': [array([0.79273277, 1.19422818, 1.8356426 , 1.65536612, 1.66737236]),\n",
       "  array([1.63899447, 0.78282046, 1.93784751, 0.52241938, 0.51631685]),\n",
       "  array([1.57341413, 0.53056712, 1.95345   , 0.62165196, 0.88358885]),\n",
       "  array([1.7735128 , 1.93760023, 1.26856752, 1.82266109, 1.35856702]),\n",
       "  array([1.7642493 , 0.50893892, 1.36037249, 0.73453132, 1.4185381 ]),\n",
       "  array([1.31400376, 0.52861479, 1.03784459, 0.78415361, 0.9818053 ]),\n",
       "  array([0.9626923 , 1.79112886, 1.83302327, 0.51940978, 1.68399211]),\n",
       "  array([1.38447241, 0.96412365, 1.95212989, 0.73187025, 1.39411552]),\n",
       "  array([1.73864575, 0.86433807, 0.58017974, 1.66084845, 1.88251074]),\n",
       "  array([0.50834923, 1.78449442, 1.10429682, 1.83873072, 1.28765027]),\n",
       "  array([1.4612476 , 1.44064022, 1.05470228, 0.74205375, 1.89993871]),\n",
       "  array([0.53692873, 1.7255384 , 1.34814899, 1.33890243, 1.66728212]),\n",
       "  array([0.55507505, 1.91271914, 1.7601826 , 1.4366108 , 0.99143708]),\n",
       "  array([1.7363727 , 1.94404746, 1.24606924, 1.64436361, 1.32605177]),\n",
       "  array([1.19001474, 1.72364784, 0.7571364 , 0.51278269, 0.98517823]),\n",
       "  array([0.70912082, 0.97846952, 0.97789085, 1.25335047, 1.71318018]),\n",
       "  array([1.561133  , 1.81205325, 0.62117482, 0.76486556, 1.25085506]),\n",
       "  array([0.9153956 , 1.34123268, 1.66536784, 1.18155245, 1.31185419]),\n",
       "  array([1.58072607, 1.49153524, 1.02329835, 0.60158568, 1.26436594]),\n",
       "  array([0.54885802, 1.93349388, 1.26269767, 0.80025799, 0.67018478]),\n",
       "  array([0.65062283, 0.75510436, 1.56262499, 0.51539649, 1.50702123]),\n",
       "  array([0.72655852, 1.60896135, 1.61539548, 1.35312166, 0.68479443]),\n",
       "  array([0.82312277, 1.13805441, 1.4357591 , 0.60865695, 1.50138526]),\n",
       "  array([0.67371253, 1.68551019, 0.50195836, 0.98952698, 1.10839255]),\n",
       "  array([0.59616488, 0.87993009, 1.16696925, 1.1575394 , 1.52839044]),\n",
       "  array([1.40925058, 0.76338648, 1.84697278, 1.79234631, 0.72216377]),\n",
       "  array([0.71679982, 1.62121116, 1.98863156, 1.19901313, 0.68982972]),\n",
       "  array([0.76622924, 1.09068599, 1.74265555, 0.85182953, 0.97659312]),\n",
       "  array([1.23821346, 0.5883582 , 1.44357305, 1.62515295, 1.90535686]),\n",
       "  array([1.50328286, 1.869089  , 0.54773477, 1.63725377, 0.88249361]),\n",
       "  array([1.91966603, 0.84828301, 1.61642387, 0.73959121, 0.69404266]),\n",
       "  array([1.61294399, 1.92870438, 0.56384108, 1.54334376, 1.44812709])],\n",
       " 'prior_draws': array([[4.64013552e-01, 1.86108103e-01, 6.40624525e+00, 2.60712680e+01,\n",
       "         2.28771795e+00],\n",
       "        [3.57316965e-01, 1.04070080e-01, 9.82143804e+00, 9.13290881e+00,\n",
       "         2.78264920e+01],\n",
       "        [3.98988532e-01, 1.47156776e-01, 7.97633507e+00, 5.86530716e+01,\n",
       "         1.46262521e+01],\n",
       "        [4.11281481e-01, 1.58254351e-01, 7.02923570e+00, 2.86856991e+01,\n",
       "         1.29861493e+00],\n",
       "        [2.66347542e-01, 1.11065110e-01, 8.85287956e+00, 1.60891672e+01,\n",
       "         2.38097779e-01],\n",
       "        [5.44546164e-01, 1.52254816e-01, 9.92608495e+00, 4.91941643e+01,\n",
       "         3.98480767e+00],\n",
       "        [2.42984414e-01, 1.36995535e-01, 7.18819983e+00, 1.17901976e+00,\n",
       "         2.20802689e+00],\n",
       "        [3.49357591e-01, 1.47552742e-01, 7.33676256e+00, 6.49177183e+01,\n",
       "         1.69501168e+00],\n",
       "        [4.60733215e-01, 1.26578025e-01, 6.83697731e+00, 1.08608620e+01,\n",
       "         5.32095974e+00],\n",
       "        [2.07239336e-01, 1.11499139e-01, 9.49131592e+00, 3.17556703e+01,\n",
       "         4.00099726e+00],\n",
       "        [4.57865951e-01, 1.43670491e-01, 8.19443426e+00, 2.76158553e+01,\n",
       "         7.48902308e+00],\n",
       "        [3.48766034e-01, 1.13697390e-01, 6.23146281e+00, 2.04618107e+01,\n",
       "         1.96676654e+00],\n",
       "        [4.47920298e-01, 9.33645322e-02, 6.73633681e+00, 2.34573019e+01,\n",
       "         8.00400048e-01],\n",
       "        [2.34712524e-01, 1.46690029e-01, 6.87645506e+00, 2.55977245e+01,\n",
       "         5.62580242e-01],\n",
       "        [4.20477921e-01, 1.65193158e-01, 7.33094183e+00, 9.54935679e+01,\n",
       "         7.62615631e+00],\n",
       "        [2.06968702e-01, 1.96726791e-01, 1.12803453e+01, 5.52843739e+01,\n",
       "         7.16787017e-01],\n",
       "        [2.57031500e-01, 1.11479484e-01, 6.04365037e+00, 8.21914859e+00,\n",
       "         2.12034243e+00],\n",
       "        [3.52434023e-01, 1.30163985e-01, 6.70672868e+00, 4.75099992e+01,\n",
       "         2.47319798e+00],\n",
       "        [4.39683711e-01, 1.18464173e-01, 9.06789380e+00, 1.07887112e+02,\n",
       "         9.71049887e+00],\n",
       "        [8.09018257e-01, 1.38853914e-01, 1.10543283e+01, 1.22983853e+01,\n",
       "         2.03830325e+00],\n",
       "        [3.71972370e-01, 1.18878471e-01, 9.78834669e+00, 4.90503186e+01,\n",
       "         2.26918440e-01],\n",
       "        [1.03141926e+00, 1.23849343e-01, 8.39898327e+00, 2.53016756e+01,\n",
       "         2.44119811e-01],\n",
       "        [2.78335657e-01, 1.26974497e-01, 8.19208776e+00, 2.86954568e+01,\n",
       "         4.55377379e+00],\n",
       "        [2.98353491e-01, 1.32482395e-01, 5.34847923e+00, 2.53719043e+01,\n",
       "         5.31371441e+00],\n",
       "        [2.56852258e-01, 1.20998145e-01, 8.10951131e+00, 5.35923178e+01,\n",
       "         1.16220817e-01],\n",
       "        [4.79468038e-01, 9.20171142e-02, 6.94595852e+00, 4.07514076e+01,\n",
       "         6.86768545e+00],\n",
       "        [7.56452310e-01, 1.09943554e-01, 7.41290310e+00, 3.47291918e+01,\n",
       "         2.77781661e+00],\n",
       "        [6.06987661e-01, 9.53063253e-02, 4.80580765e+00, 1.15499895e+01,\n",
       "         8.86260599e-01],\n",
       "        [7.60495314e-01, 1.02037761e-01, 6.60685571e+00, 3.98080057e+01,\n",
       "         1.47510115e+00],\n",
       "        [3.62318011e-01, 1.02132464e-01, 1.08624619e+01, 1.98415414e+01,\n",
       "         5.09614999e-01],\n",
       "        [3.12722391e-01, 1.04109665e-01, 8.27064447e+00, 1.36605262e+01,\n",
       "         7.00399372e-01],\n",
       "        [3.71681539e-01, 1.35283854e-01, 1.05783098e+01, 5.68456311e+01,\n",
       "         6.71377591e+00]]),\n",
       " 'sim_non_batchable_context': None,\n",
       " 'sim_batchable_context': None,\n",
       " 'sim_data': array([[[     65],\n",
       "         [     59],\n",
       "         [     41],\n",
       "         [     77],\n",
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       " \n",
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       " \n",
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       " \n",
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       " \n",
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       " \n",
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       " \n",
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       " \n",
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       " \n",
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       " \n",
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       " \n",
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       " \n",
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       " \n",
       "        [[    214],\n",
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       "         [   1553],\n",
       "         [   1603],\n",
       "         [   3160],\n",
       "         [   2078]]], dtype=int64)}"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model(32)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "wicked-medicare",
   "metadata": {},
   "source": [
    "## Defining the Configurator\n",
    "\n",
    "As you by now know, the configurator is the part that connects your simulator outputs to the neural inference architecture. Notice how this time the return dictionary has three keys:\n",
    "1. `summary_conditions` - these will be passed through the summary network before going into the inference network;\n",
    "2. `direct_conditions` - these will be passed directly to the inference network;\n",
    "3. `parameters` - these are the quantities we wish to perform posterior inference on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "occupational-counter",
   "metadata": {},
   "outputs": [],
   "source": [
    "def configure_input(forward_dict):\n",
    "    \"\"\"Function to configure the simulated quantities (i.e., simulator outputs)\n",
    "    into a neural network-friendly (BayesFlow) format.\n",
    "    \"\"\"\n",
    "\n",
    "    # Prepare placeholder dict\n",
    "    out_dict = {}\n",
    "\n",
    "    # Convert data to logscale\n",
    "    logdata = np.log1p(forward_dict[\"sim_data\"]).astype(np.float32)\n",
    "\n",
    "    # Extract scaling parameter and convert to array\n",
    "    alphas = np.array(forward_dict[\"prior_batchable_context\"]).astype(np.float32)\n",
    "\n",
    "    # Extract prior draws and z-standardize with previously computed means\n",
    "    params = forward_dict[\"prior_draws\"].astype(np.float32)\n",
    "    params = (params - prior_means) / prior_stds\n",
    "\n",
    "    # Remove a batch if it contains nan, inf or -inf\n",
    "    idx_keep = np.all(np.isfinite(logdata), axis=(1, 2))\n",
    "    if not np.all(idx_keep):\n",
    "        print(\"Invalid value encountered...removing from batch\")\n",
    "\n",
    "    # Add to keys\n",
    "    out_dict[\"summary_conditions\"] = logdata[idx_keep]\n",
    "    out_dict[\"direct_conditions\"] = alphas[idx_keep]\n",
    "    out_dict[\"parameters\"] = params[idx_keep]\n",
    "\n",
    "    return out_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "irish-remedy",
   "metadata": {},
   "source": [
    "We can always do a quick check that our configurator works well with the outputs of the generative model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "apparent-listing",
   "metadata": {},
   "outputs": [],
   "source": [
    "_ = configure_input(model(batch_size=2))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "outdoor-retreat",
   "metadata": {},
   "source": [
    "## Defining the Neural Approximator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "adjacent-stack",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "municipal-motion",
   "metadata": {},
   "outputs": [],
   "source": [
    "summary_net = SummaryNet(n_summary=16)\n",
    "inference_net = InvertibleNetwork({'n_params': 5, \n",
    "                                   'n_coupling_layers': 3}\n",
    "amortizer = AmortizedPosterior(inference_net, summary_net)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "coordinate-rough",
   "metadata": {},
   "source": [
    "## Defining the Trainer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "noble-physiology",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Initializing networks from scratch.\n",
      "INFO:root:Performing a consistency check with provided components...\n",
      "INFO:root:Done.\n"
     ]
    }
   ],
   "source": [
    "# change var_obs\n",
    "trainer = Trainer(\n",
    "    amortizer=amortizer, generative_model=model, configurator=configure_input, checkpoint_path=\"Alpha_Scaling_SIR\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "nasty-france",
   "metadata": {},
   "source": [
    "## Training Phase"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "mature-attachment",
   "metadata": {},
   "outputs": [],
   "source": [
    "# h = trainer.train_online(epochs=20, iterations_per_epoch=1000, batch_size=32)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "medium-campaign",
   "metadata": {},
   "source": [
    "## Validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "short-chile",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "hairy-situation",
   "metadata": {},
   "source": [
    "## Inference Phase\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "solar-posting",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\anaconda3\\envs\\tensorflowdev\\lib\\site-packages\\ipykernel_launcher.py:37: UserWarning: FixedFormatter should only be used together with FixedLocator\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "samples = amortizer.sample(\n",
    "    {\n",
    "        \"summary_conditions\": np.log1p(obs_data).astype(np.float32)[np.newaxis, :, np.newaxis],\n",
    "        \"direct_conditions\": np.ones((1, 5)).astype(np.float32),\n",
    "    },\n",
    "    n_samples=3000,\n",
    "    to_numpy=True,\n",
    ")\n",
    "samples = samples[np.sum(samples < 0, axis=1) == 0]\n",
    "f = plot_median_predictions(samples, obs_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "lightweight-rings",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\anaconda3\\envs\\tensorflowdev\\lib\\site-packages\\ipykernel_launcher.py:37: UserWarning: FixedFormatter should only be used together with FixedLocator\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "samples = amortizer.sample(\n",
    "    {\n",
    "        \"summary_conditions\": np.log1p(obs_data).astype(np.float32)[np.newaxis, :, np.newaxis],\n",
    "        \"direct_conditions\": 2 * np.ones((1, 5)).astype(np.float32),\n",
    "    },\n",
    "    n_samples=1000,\n",
    "    to_numpy=True,\n",
    ")\n",
    "samples = samples[np.sum(samples < 0, axis=1) == 0]\n",
    "f = plot_median_predictions(samples, obs_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "canadian-austin",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\anaconda3\\envs\\tensorflowdev\\lib\\site-packages\\ipykernel_launcher.py:37: UserWarning: FixedFormatter should only be used together with FixedLocator\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "samples = amortizer.sample(\n",
    "    {\n",
    "        \"summary_conditions\": np.log1p(obs_data).astype(np.float32)[np.newaxis, :, np.newaxis],\n",
    "        \"direct_conditions\": 0.5 * np.ones((1, 5)).astype(np.float32),\n",
    "    },\n",
    "    n_samples=1000,\n",
    "    to_numpy=True,\n",
    ")\n",
    "samples = samples[np.sum(samples < 0, axis=1) == 0]\n",
    "f = plot_median_predictions(samples, obs_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "selective-biodiversity",
   "metadata": {},
   "outputs": [],
   "source": [
    "param_names = [r\"$\\lambda$\", r\"$\\mu$\", r\"$D$\", r\"$I_0$\", r\"$\\psi$\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "id": "statewide-kidney",
   "metadata": {},
   "outputs": [],
   "source": [
    "samples_alpha = []\n",
    "for alpha in [0.5, 1, 2]:\n",
    "    samples = amortizer.sample(\n",
    "        {\n",
    "            \"summary_conditions\": np.log1p(obs_data).astype(np.float32)[np.newaxis, :, np.newaxis],\n",
    "            \"direct_conditions\": alpha * np.ones((1, 5)).astype(np.float32),\n",
    "        },\n",
    "        n_samples=5000,\n",
    "        to_numpy=True,\n",
    "    )\n",
    "    samples = pd.DataFrame(samples[np.sum(samples < 0, axis=1) == 0], columns=param_names)\n",
    "    samples_alpha.append(samples)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "id": "neural-marathon",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_all = pd.concat(samples_alpha, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "id": "floral-property",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_all[\"Scaling factor\"] = (\n",
    "    [r\"$\\alpha = 0.5$\"] * len(samples_alpha[0])\n",
    "    + [r\"$\\alpha = 1.0$\"] * len(samples_alpha[1])\n",
    "    + [r\"$\\alpha = 2.0$\"] * len(samples_alpha[2])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "id": "criminal-thinking",
   "metadata": {},
   "outputs": [],
   "source": [
    "def build_viridis_palette(n, n_total=20, base_palette=\"viridis\"):\n",
    "    \"\"\"\n",
    "    Builds a viridis palette with maximal entropy (evenly spaced)\n",
    "    \"\"\"\n",
    "    color_palette = np.array(sns.color_palette(base_palette, n_colors=n_total))\n",
    "    indices = np.array(np.floor(np.linspace(0, n_total - 1, n)), dtype=np.int32)\n",
    "    color_palette = color_palette[indices]\n",
    "    return [tuple(c) for c in color_palette]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "superior-incentive",
   "metadata": {},
   "outputs": [],
   "source": [
    "colors = build_viridis_palette(21, base_palette=\"plasma\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "funny-russell",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAALkAAABICAYAAACqY1TgAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAABgklEQVR4nO3XPYoVQRSA0Sp5Y2QwDIogiLiHSVyFq9HcwE24A/ciGE9oPjKBBoJBuYHnz4Np+vlxTlpNc2/zBdVzrTWg7MHeA8DWRE6eyMkTOXkiJ0/k5B1Oeng+WhfzaqtZdvfs4d4TbOvy6d3eI2zmy9cf4/b7z3ns7KTIL+bVeHl4ez9TnaF3z49+o4zXbz7uPcJmXr3//Nsz1xXyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXlzrfXvD8/5bYxxs904u3s8xrjde4iNlHcbY4wXa60nxw4OJ77oZq11fQ8DnaU556fqfuXd/sZ1hTyRk3dq5B82meJ8lPcr7/ZHJ/14wv/IdYU8kZMncvJETp7IyfsF+YYqr4uAGjgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 216x72 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_codes = {\n",
    "    r\"$\\alpha = 0.5$\": colors[0],\n",
    "    r\"$\\alpha = 1.0$\": colors[8],\n",
    "    r\"$\\alpha = 2.0$\": colors[16],\n",
    "}\n",
    "sns.palplot(color_codes.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "id": "assigned-engagement",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[None, None, None, None, None, None]"
      ]
     },
     "execution_count": 262,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 858.275x720 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def corrfunc(x, y, **kws):\n",
    "    r, _ = stats.pearsonr(x, y)\n",
    "    ax = plt.gca()\n",
    "    ax.annotate(rf\"$\\rho$ = {r:.2f}\", xy=(0.25, 0.5), xycoords=ax.transAxes, fontsize=20)\n",
    "\n",
    "\n",
    "plt.rcParams[\"font.size\"] = 18\n",
    "grid = sns.PairGrid(df_all, height=2, hue=\"Scaling factor\", palette=color_codes)\n",
    "grid = grid.map_diag(sns.histplot, alpha=0.9, fill=True)\n",
    "grid = grid.map_lower(sns.kdeplot, n_levels=10, cut=0, bw_method=\"silverman\", alpha=0.8)\n",
    "# grid = grid.map_upper(corrfunc)\n",
    "\n",
    "for i, j in zip(*np.triu_indices_from(grid.axes, 1)):\n",
    "    grid.axes[i, j].axis(\"off\")\n",
    "\n",
    "for i in range(len(param_names)):\n",
    "    grid.axes[i, i].axvline(df_all.iloc[:, i].mean(), color=\"black\", linestyle=\"dashed\")\n",
    "\n",
    "grid.add_legend()\n",
    "plt.setp(grid._legend.get_title(), fontsize=20)\n",
    "plt.setp(grid._legend.get_texts(), fontsize=18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "id": "worst-employment",
   "metadata": {},
   "outputs": [],
   "source": [
    "grid.savefig(\"Initial_Pairs.png\", dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "id": "vertical-paintball",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x360 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = [\"#8c87d6\", \"#d68787\", \"#d6d387\"]\n",
    "legends = [r\"$\\alpha = 0.5$\", r\"$\\alpha = 1.0$\", r\"$\\alpha = 2.0$\"]\n",
    "f, axarr = plt.subplots(1, 5, figsize=(25, 5))\n",
    "for samples, legend, color in zip(samples_alpha, legends, colors):\n",
    "    for i, ax in enumerate(axarr):\n",
    "        l = legend\n",
    "        sns.kdeplot(samples.values[:, i], ax=ax, alpha=0.7, label=l, fill=True, color=color)\n",
    "        sns.despine(ax=ax)\n",
    "\n",
    "for i, ax in enumerate(axarr):\n",
    "    if i == 0:\n",
    "        ax.legend()\n",
    "    ax.set_title(param_names[i])\n",
    "    ax.set_xlabel(\"Parameter value\")\n",
    "f.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "id": "conventional-sequence",
   "metadata": {},
   "outputs": [],
   "source": [
    "f.savefig(\"Initial_Marginal.png\", dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "tight-dealing",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": true,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
